Autonomous Data-Driven Integration into ERP Systems
Advances in Design, Simulation and Manufacturing IV: Proceedings of the 4th International Conference on Design, Simulation, Manufacturing: The Innovation Exchange (DSMIE-2021). Vol.1: Manufacturing and Materials Engineering. Lecture Notes in Mechanical Engineering 2021
Jānis Pekša

The following article makes a case study with an SAP ERP system, which integrates with an external Web Service using API access. Algorithm implementation is demonstrated with all transactions used in SAP ERP. However, it should be noted that a limited version of SAP ERP S/4HANA version release 2.00.044. It was pointing to the capabilities test between the external system and the ERP system. During the experiment, the ABAP programming language and the built-in SAP ERP background job are used and configured as needed. The received data is stored in the SAP ERP data warehouse, modified to save the new data. The main result is to provide integration capabilities. Utility to use the Web Service and the ERP system’s integration technique to enable the capability’s regular use. The experiment shows that the SAP ERP system can be integrated from an external source and store data to improve future business processes and increase its business values. The approach allows for the development of future frameworks and the expansion of ERP systems between external systems.


Atslēgas vārdi
Enterprise resource planning systems, Algorithm implementation
DOI
10.1007/978-3-030-77719-7_23
Hipersaite
https://link.springer.com/chapter/10.1007%2F978-3-030-77719-7_23

Pekša, J. Autonomous Data-Driven Integration into ERP Systems. No: Advances in Design, Simulation and Manufacturing IV: Proceedings of the 4th International Conference on Design, Simulation, Manufacturing: The Innovation Exchange (DSMIE-2021). Vol.1: Manufacturing and Materials Engineering. Lecture Notes in Mechanical Engineering, Ukraina, Lviv, 8.-11. jūnijs, 2021. Singapore: Springer Nature Switzerland AG, 2021, 223.-232.lpp. ISBN 978-3-030-77718-0. e-ISBN 978-3-030-77719-7. ISSN 2195-4356. e-ISSN 2195-4364. Pieejams: doi:10.1007/978-3-030-77719-7_23

Publikācijas valoda
English (en)
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